MIBiG 2.0: a repository for biosynthetic gene clusters of known function
MIBiG 2.0: a repository for biosynthetic gene clusters of known function
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DOI：
10.1093/nar/gkz882
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发表时间：
2020-01-08
影响因子：
14.9
通讯作者：
Medema, Marnix H.
中科院分区：
文献类型：
--
作者：
Kautsar, Satria A.;Blin, Kai;Medema, Marnix H.
在（Meta）基因组数据爆炸的推动下，专门代谢物的基因组挖掘已成为药物发现和研究微生物组生态学的主要技术。在这些努力中，antiSMASH等计算工具通过分析生物合成基因簇（BGC）发挥了核心作用。来自微生物基因组的数千个候选BGC已被鉴定并存储在公共数据库中。解释这些预测的BGC的功能和新奇需要与已知功能的一组有据可查的BGC进行比较。MIBiG（关于生物合成基因簇的最小信息）数据标准和存储库成立于2015年，旨在管理和存储已知的BGC。在这里，我们介绍了MIBiG 2.0，它包含了对模式、数据和在线存储库本身的重大更新。在过去五年中，增加了851个新的BGC。此外，我们对所有条目进行了大量的手动数据管理，以提高存储库的注释质量。我们还重新设计了数据模式，以确保未来注释的合规性。最后，我们通过添加查询搜索和统计页面等新功能改善了用户体验，并实现了与化学结构数据库的直接链接。
Fueled by the explosion of (meta)genomic data, genome mining of specialized metabolites has become a major technology for drug discovery and studying microbiome ecology. In these efforts, computational tools like antiSMASH have played a central role through the analysis of Biosynthetic Gene Clusters (BGCs). Thousands of candidate BGCs from microbial genomes have been identified and stored in public databases. Interpreting the function and novelty of these predicted BGCs requires comparison with a well-documented set of BGCs of known function. The MIBiG (Minimum Information about a Biosynthetic Gene Cluster) Data Standard and Repository was established in 2015 to enable curation and storage of known BGCs. Here, we present MIBiG 2.0, which encompasses major updates to the schema, the data, and the online repository itself. Over the past five years, 851 new BGCs have been added. Additionally, we performed extensive manual data curation of all entries to improve the annotation quality of our repository. We also redesigned the data schema to ensure the compliance of future annotations. Finally, we improved the user experience by adding new features such as query searches and a statistics page, and enabled direct link-outs to chemical structure databases.